{"id":"https://openalex.org/W4414451963","doi":"https://doi.org/10.1109/iccv51701.2025.00724","title":"ARMO: Autoregressive Rigging for Multi-Category Objects","display_name":"ARMO: Autoregressive Rigging for Multi-Category Objects","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4414451963","doi":"https://doi.org/10.1109/iccv51701.2025.00724"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.20663","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101524833","display_name":"Mingze Sun","orcid":"https://orcid.org/0009-0000-4559-4146"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingze Sun","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109632176","display_name":"Shiwei Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Mao","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666255","display_name":"Keyi Chen","orcid":"https://orcid.org/0009-0006-8736-5951"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyi Chen","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yurun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurun Chen","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028455158","display_name":"Shunlin Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunlin Lu","raw_affiliation_strings":["The Chinese University of Hong Kong,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Shenzhen,China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456761","display_name":"Jingbo Wang","orcid":"https://orcid.org/0000-0001-7544-0084"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbo Wang","raw_affiliation_strings":["Shanghai AI Laboratory,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory,China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078249371","display_name":"J.Q. Dong","orcid":"https://orcid.org/0000-0002-6416-6910"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junting Dong","raw_affiliation_strings":["Shanghai AI Laboratory,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory,China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ruqi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqi Huang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I4210114105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21637098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7721","last_page":"7730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.8310999870300293,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.8310999870300293,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.8166000247001648,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.777999997138977,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/skinning","display_name":"Skinning","score":0.7056000232696533},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6754999756813049},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6241999864578247},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5184000134468079},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5073000192642212},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47699999809265137},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44859999418258667},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.40639999508857727},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.40549999475479126},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.38999998569488525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487000226974487},{"id":"https://openalex.org/C2777685762","wikidata":"https://www.wikidata.org/wiki/Q780654","display_name":"Skinning","level":2,"score":0.7056000232696533},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6754999756813049},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6241999864578247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497000217437744},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5184000134468079},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4399000108242035},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.38999998569488525},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.31610000133514404},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2881999909877777},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2563999891281128}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.20663","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.20663","pdf_url":"https://arxiv.org/pdf/2503.20663","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.20663","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.20663","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.20663","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.20663","pdf_url":"https://arxiv.org/pdf/2503.20663","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,53,129,213],"large-scale":[3,72],"generative":[4],"models":[5],"have":[6],"significantly":[7],"improved":[8,217],"the":[9,29,70,135,149,165,176,186,205],"quality":[10],"and":[11,40,59,81,103,126,142,159,197,225],"diversity":[12],"of":[13,33,188],"3D":[14,26,62],"shape":[15,100],"generation.":[16,182],"However,":[17],"most":[18],"existing":[19],"methods":[20],"focus":[21,47],"primarily":[22],"on":[23,48,89,204],"generating":[24],"static":[25],"models,":[27],"overlooking":[28],"potentially":[30],"dynamic":[31],"nature":[32],"certain":[34],"shapes,":[35],"such":[36],"as":[37,138],"humanoids,":[38],"animals,":[39],"insects.":[41],"To":[42],"address":[43],"this":[44,65,106],"gap,":[45],"we":[46,67,109,147],"rigging,":[49],"a":[50,112,130,139,156],"fundamental":[51],"task":[52],"animation":[54],"that":[55,87,116],"establishes":[56],"skeletal":[57,136],"structures":[58],"skinning":[60,82],"for":[61,179,231],"models.":[63],"In":[64],"paper,":[66],"introduce":[68],"OmniRig,":[69],"first":[71],"rigging":[73,114],"dataset,":[74,108,207],"comprising":[75],"79,499":[76],"meshes":[77],"with":[78],"detailed":[79],"skeleton":[80,181,214],"information.":[83],"Unlike":[84],"traditional":[85],"benchmarks":[86],"rely":[88],"predefined":[90],"standard":[91],"poses":[92],"(e.g.,":[93],"A-pose,":[94],"T-pose),":[95],"our":[96,208],"dataset":[97,226],"embraces":[98],"diverse":[99,220],"categories,":[101],"styles,":[102],"poses.":[104],"Leveraging":[105],"rich":[107],"propose":[110],"ARMO,":[111],"novel":[113],"framework":[115],"utilizes":[117],"an":[118,152,160],"autoregressive":[119,161],"model":[120,162,171],"to":[121,154,163,174],"predict":[122,164,175],"both":[123],"joint":[124],"positions":[125],"connectivity":[127,199],"relationships":[128],"unified":[131],"manner.":[132],"By":[133],"treating":[134],"structure":[137],"complete":[140],"graph":[141],"discretizing":[143],"it":[144],"into":[145],"tokens,":[146],"encode":[148],"joints":[150],"using":[151],"auto-encoder":[153],"obtain":[155],"latent":[157,169,177],"embedding":[158,178],"tokens.":[166],"A":[167],"mesh-conditioned":[168],"diffusion":[170],"is":[172],"used":[173],"conditional":[180],"Our":[183],"method":[184],"addresses":[185],"limitations":[187],"regression-based":[189],"approaches,":[190],"which":[191],"often":[192],"suffer":[193],"from":[194],"error":[195],"accumulation":[196],"suboptimal":[198],"estimation.":[200],"Through":[201],"extensive":[202],"experiments":[203],"OmniRig":[206],"approach":[209],"achieves":[210],"state-of-the-art":[211],"performance":[212],"prediction,":[215],"demonstrating":[216],"generalization":[218],"across":[219],"object":[221],"categories.":[222],"The":[223],"code":[224],"will":[227],"be":[228],"made":[229],"public":[230],"academic":[232],"use":[233],"upon":[234],"acceptance.":[235]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}